ReviewBioMed research international2017
A Survey of the Use of Iterative Reconstruction Algorithms in Electron Microscopy.
Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 40 citations in OpenAlex.
- Fast automatic multiscale electron tomography for sensitive materials under environmental conditions.Communications engineering · 2025Article
- A method for restoring signals and revealing individual macromolecule states in cryo-ET, REST.Nature communications · 2023Article
- Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials.Nature communications · 2023Article
- Emerging Themes in CryoEM─Single Particle Analysis Image Processing.Chemical reviews · 2022Review
- A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactions.Histochemistry and cell biology · 2022Article
- On bias, variance, overfitting, gold standard and consensus in single-particle analysis by cryo-electron microscopy.Acta crystallographica. Section D, Structural biology · 2022Article
- Compressed sensing for electron cryotomography and high-resolution subtomogram averaging of biological specimens.Structure (London, England : 1993) · 2022Article
- Advances in Xmipp for Cryo-Electron Microscopy: From Xmipp to Scipion.Molecules (Basel, Switzerland) · 2021Article
- SciFi detector and associated method for real-time determination of profile and output factor for small fields in stereotactic radiotherapy.Medical physics · 2020Article
- Automatic local resolution-based sharpening of cryo-EM maps.Bioinformatics (Oxford, England) · 2020Article
- Fast multiscale reconstruction for Cryo-EM.Journal of structural biology · 2018Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the key steps in Electron Microscopy is the tomographic reconstruction of a three-dimensional (3D) map of the specimen being studied from a set of two-dimensional (2D) projections acquired at the microscope. This tomographic reconstruction may be performed with different reconstruction algorithms that can be grouped into several large families: direct Fourier inversion methods, back-projection methods, Radon methods, or iterative algorithms. In this review, we focus on the latter family of algorithms, explaining the mathematical rationale behind the different algorithms in this family as they have been introduced in the field of Electron Microscopy. We cover their use in Single Particle Analysis (SPA) as well as in Electron Tomography (ET).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.